The OpportunityJoin our team as a Data Scientist in Austin, TX. This position will help integrate data science, optimization, and simulation capabilities within Planview's planning solutions. You will contribute
to data collection and analysis, build predictive models, and work with
Generative AI technologies including Planview Anvi.
What You'll Do- Optimization: Formulate and solve optimization problems for portfolio
prioritization, investment and resource allocation, and capacity planning
to maximize strategic value under constraints. - Simulation: Build simulation models (e.g., Monte Carlo, discrete-event) to
stress-test portfolio plans, quantify risk and uncertainty, and forecast
outcomes across scenarios. - Predictive Modeling: Build, test, and refine models to predict delivery
timelines, portfolio outcomes, and investment performance. - Agentic AI: Design MCP (Model Context Protocol) interfaces that expose
optimization, simulation, and predictive capabilities to Planview Anvi and
other AI agents.
What You'll BringRequired Qualifications:
- Master's degree in Industrial Engineering, Operations Research, Statistics,
Data Science, or a related field. - 5+ years experience in Python and SQL, along with familiarity with libraries such as
pandas and scikit-learn. - Experience with optimization and/or simulation methods (e.g.,
linear/integer programming, heuristics, Monte Carlo, discrete-event
simulation). - Demonstrated experience in translating customer challenges into data-
driven product enhancements. - Strong knowledge of machine learning algorithms and statistical
methodologies. - Strong written and verbal communication skills.
Preferred Qualifications:
- Familiarity with portfolio management and planning frameworks (e.g.,
SAFe, Lean Portfolio Management, Agile, Waterfall). - Hands-on experience with AWS services such as Athena, SageMaker,
Lambda, and Bedrock. - Experience with optimization solvers or simulation libraries.
- Experience building with Large Language Models and agent frameworks,
including exposure to the Model Context Protocol (MCP). - Basic understanding of knowledge graphs and ontologies.
Benefits at PlanviewAt Planview, you'll join our global team and culture which reflects the vibrant communities in which our employees live and work. To support you at Planview, you will enjoy:
- Unplugged Days: 4 company-wide paid days off per year to recharge and relax.
- Generous PTO offerings (region dependent).
- Region specific competitive benefit plans to support you at any life stage including parental leave, retirement, medical plans, wellness support, and remote work support.
- Paid time to volunteer through Planview's Force for Good Week.
- Employee Referral bonus program.
- Weekly office lunches for hybrid team members and social events.
- Flexible work hours/environment.
Now is a great time to join our team. If you are looking for a place to grow your career, innovate with best-in-class solutions, and build the future of connected work, Planview is the right place for you!
